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This paper presents a fuzzy logic model for short-term load forecasting at the 132/33kV Kano Transmission Substation in Nigeria, utilizing historical load and temperature data. The model achieved a Mean Absolute Percentage Error (MAPE) of 4.65% and 3.08% on specific test dates, indicating its accuracy in predicting electricity load. The methodology involves developing a fuzzy inference system with defined membership functions and rules based on input variables such as time of day and temperature.

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birea.dt

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EN